{"id":"W3003548070","doi":"10.1093/ehjci/jez321","title":"Increased long-term mortality in women with high left ventricular ejection fraction: data from the CONFIRM (COronary CT Angiography EvaluatioN For Clinical Outcomes: An InteRnational Multicenter) long-term registry","year":2019,"lang":"en","type":"article","venue":"European Heart Journal - Cardiovascular Imaging","topic":"Cardiac Imaging and Diagnostics","field":"Medicine","cited_by":44,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; University of Ottawa","funders":"Schweizerische Herzstiftung; EMDO Stiftung; National Heart, Lung, and Blood Institute; Olga Mayenfisch Stiftung; Novartis Foundation; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; National Institutes of Health; Helmut Horten Stiftung; National Science Foundation","keywords":"Ejection fraction; Medicine; Hazard ratio; Cardiology; Internal medicine; Proportional hazards model; Coronary artery disease; Cohort; Confidence interval; Heart failure","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001277067,0.0002796118,0.0005824168,0.0007140699,0.0003099556,0.0005464288,0.0003054037,0.0004214971,0.0009058085],"category_scores_gemma":[0.002276476,0.0002375374,0.0004208895,0.0008505584,0.00025124,0.0004566229,0.0004867883,0.0004557992,0.0002559142],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001851908,"about_ca_system_score_gemma":0.0002135666,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001619952,"about_ca_topic_score_gemma":0.002729561,"domain_scores_codex":[0.9993376,0.0002046836,0.00008113545,0.0001691385,0.0001233873,0.0000839701],"domain_scores_gemma":[0.9978503,0.0002885035,0.001155107,0.0002714153,0.0001658988,0.0002686747],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008232683,0.000004941041,0.9992958,0.000003442725,0.00002856245,0.00003084143,0.00002152056,0.000007129881,0.00009521097,0.000004442938,0.00006554853,0.0003601339],"study_design_scores_gemma":[0.000009382559,0.00004904589,0.9994492,0.000005902558,0.000033816,0.0001809323,0.00007008309,0.00003973793,0.00003885404,0.00000848916,0.0001120813,0.000002398429],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9986506,0.0003832337,0.00006714949,0.00004413496,0.000006555605,0.000004433131,0.0006156446,0.000003810821,0.0002245083],"genre_scores_gemma":[0.9985002,0.000166235,0.00005944058,0.00004058191,0.00003654136,0.00001100032,0.00110512,0.000002846709,0.00007800823],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001619952,"threshold_uncertainty_score":0.006753922,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07528511418768727,"score_gpt":0.3735308542616487,"score_spread":0.2982457400739614,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}